FIELD OF THE PRESENT INVENTION
[0001] The present invention relates to receivers for Global Navigation Satellite Systems.
The invention, in particular, relates to the detection of interference in signals
received by such receivers from navigation satellites employing time-frequency techniques.
DESCRIPTION OF THE PRIOR ART
[0002] An important issue of signal processing, in general, is the accurate determination
of the frequencies and phases of transmitted and received signals. In the field of
navigation/localization systems Global Navigation Satellite Systems (GNNS), as the
Global Positioning System (GPS) and the European Galileo, are of growing importance.
A GPS receiver, e.g., must be able to track the spread-spectrum signals, i.e. phase-modulated
signals using bi-phase shift keying (BPSK) that it receives from GPS satellites with
high accuracy. During the acquisition phase the carrier frequency and the phase angle
of the coarse/acquisition (C/A code), for civil purposes, has to be determined. Accurate
tracking of the carrier frequency and the Doppler shift caused by the relative velocity
of the satellite with respect to the receiver are mandatory for an accurate determination
of the position and velocity of the receiver. A rough estimation of the Doppler shift
and of the code delay represents main tasks for an acquisition stage of a GNSS receiver.
The maximum Doppler frequency for the L1 GPS signal having a frequency of 1575.42
MHz is about 5 kHz (for terrestrial applications).
[0003] Standard receivers track the C/A code phase by a Delay Locked Loop (DLL) and the
carrier phase by a Phase Locked Loop (PLL). An apparatus employing both loops, called
a signal tracking loop, is disclosed in
US 5 222 843. Both loops represent feedback loops that align replica signals in the receiver with
the actual received signal.
[0004] Typically, a PLL, usually in form of a Costas loop, consists of a numerically controlled
oscillator, a carrier loop filter and a discriminator. The output of the discriminator
is used to control the oscillator tuning the oscillation frequency so that the loop
can continuously demodulate the received satellite signal. On the basis of the despreaded
C/A code the signal output by the oscillator usually has both (inphase) I and (quadrature)
Q channels. After correlating with the input signal, the signal from each channel
is lowpass filtered.
[0005] More specifically, the code delay and the Doppler frequency are searched for in a
two-dimensional search space given by S(τ, F
D) = S
I2(τ F
D) + S
Q2(τ F
D) , where

and

are the in-phase and quadrature components resulting from the integration of

obtained by the GNSS signal x
R[n], a local replica x
LOC[n] of the GNSS code delayed by τ and sinusoids at the frequency F
D.
[0007] One may distinguish three search methods known in the art (see, e.g., "
Fundamentals of Global Positioning System Receivers: A Software Approach", John Wiley
and Sons, 2004). According to the classical serial search acquisition scheme the search space is
evaluated cell by cell. Different values of code delay and Doppler shift are subsequently
tested. According to the frequency domain FFT acquisition scheme Fast Fourier Transform
(FFT) is used to evaluate all the Doppler frequencies in parallel. This scheme includes
the analysis of frequency points outside the Doppler range. The time domain FFT acquisition
scheme employs a circular convolution and represents also a scheme for evaluating
all the Doppler frequencies in parallel.
[0009] US 6 407 699 discloses a GPS receiver and associated method that embodies high-dynamic, fast acquisition,
and interference-suppressing capabilities for the reception and processing of GPS
signals from a plurality of GPS satellites to produce GPS signal time and frequency
parameters and navigation fixes. The GPS receiver includes an antenna and an analog
front-end to intercept the incoming radio-frequency signal, band-limiting amplify
the signal, and to convert it to an appropriate intermediate frequency so that it
may be converted to digital form. One or more high-speed digital signal processors
(DSP) constitute an all digital software baseband processor that process the sampled
and quantified signals to form a two-dimensional delay-Doppler map of correlation
power and to extract the signal time and frequency parameters and navigation data.
The baseband processor performs the incoming signal time-tagging, transformation,
replica generation, interference-suppressing, delay-Doppler mapping and frequency
uncertainty planning.
[0010] However, due to the presence of interferences the above described conventional acquisition
processes are not sufficiently reliable and cannot be carried out as fast as it is
desired. Thus, there is a need to enhance the reliability of present methods for data
acquisition and to efficiently detect interferences. It is, therefore, a problem underlying
the present invention to provide a more reliable and faster method as compared to
the art for acquiring data and detecting interference in the context of GNSS receivers.
SUMMARY OF THE PRESENT INVENTION
[0011] The above-mentioned problem is solved by a method according to claim 1. The inventive
method for detection of interference in a Global Navigation Satellite System, GNSS,
signal received from a navigation satellite, comprises generating a local replica
of the GNSS signal that is time-delayed with respect to the GNSS signal;
providing a window signal;
calculating a search spectrogram based on the received GNSS signal and the local replica
of the GNSS signal or an interference detection spectrogram based on the received
GNSS signal and the window signal;
switching between a local replica of the received GNSS signal delayed by a predetermined
time-delay τ with respect to the received GNSS signal and the window signal in order
to switch between a signal acquisition process and an interference detection process;
detecting interference by means of the interference detection spectrogram.
[0012] The GNSS signal can, in particular, be a GPS signal. The window signal can, e.g.,
be a Hammond's window or a Hanning's window or a Blackman window and can either be
generated by a window generator or read from a window memory bank comprising at least
one window signal.
[0013] Whereas a commonly used acquisition unit included in a GNSS receiver performs signal
acquisition on the basis of a spectrogram (search space) calculated from the received
GNSS signal and a time-delayed local replica of this signal, the herein disclosed
method for detecting interference, i.e. perturbations in the search space, uses a
window function in place of the time-delayed local replica in order to obtain a different
(interference detection) spectrum that is useful for the detection of interference.
Usage of the (analysis) window signal provides a very efficient and relatively fast
method for interference detection based on the received signal spectrogram.
[0014] The spectrogram is readily obtained by a discrete convolution of the received GNSS
signal multiplied by a sinusoid sin(2π
FDn) and cos(2π
FDn), respectively, and a window function resulting in the so-called in-phase and quadrature
components and subsequently adding the squares of these components and can, thus,
be expressed as

where τ is a time-delay of a generated local replica of the GNSS signal with respect
to the GNSS signal x
R[n], F
D is a predetermined frequency, n is a discrete time index and N is the length of the
window signal w[n]. It is preferred that the length of the window is equal to the
length of the received GNSS signal and of the local replica used for the determination
of the Doppler frequency and the code delay. The window signal is progressively delayed
by some predetermined time-delay. Thus, a time-frequency analysis is performed for
the detection of interference.
[0015] The window signal that is used for obtaining the (interference detection) spectrogram
can be derived from a window signal stored in a memory by downsampling the stored
window signal to a predetermined range of sampling instants (indexed by n) of the
GNSS signal and adding zeros for sampling instants outside the predetermined range
(see also description below with reference to Figure 4). An accordingly sampled window
signal can also be generated by a window generator. Usage of such a window results
in an increased spectrogram time resolution.
[0016] In the herein described examples for the inventive method it is possible to choose
a time-delay τ that progressively assumes values τ= n Δτ with a time-delay step Δτ
larger than one signal sample. A choice of such a relatively large time-delay allows
for faster computation and results in downsampled versions of the spectrogram that
can be used for a fast and processor load saving preliminary analysis.
[0017] A simple way of detecting interference by means of the spectrogram obtained by means
of a window function is comparison of each cell of the spectrogram with a predetermined
threshold. In this case, the presence of interference is detected by determining whether
a cell of the spectrogram exceeds a predetermined interference threshold.
[0018] It has been proven that a suitable choice for the interference threshold is (as will
be discussed in more detail below) is

where σ
µ2, E
w, N and P denote the variance of Gaussian noise present in the GNSS signal, the energy
of the window signal, the length of the window signal and a predetermined interference
false alarm probability, respectively. Thus, the interference threshold V
t is set according to the probability that a cell causes a detection event, even if
the search space, i.e. a spectrogram obtained on the basis of a time-delayed local
replica of the GNSS signal rather than a window signal, shows no perturbations.
[0019] The inventive interference detection method can be used in combination with standard
acquisition schemes as, e.g., the classical serial search, the parallel frequency
domain FFT acquisition scheme and the parallel time domain FFT acquisition scheme
(see above). Thus, according to one example of the inventive method calculating the
spectrogram comprises the steps of
generating two sinusoids sin(2π
FDn) and cos(2π
FDn) with a predetermined frequency F
D by means of a frequency generator;
generating from the received GNSS signal x
R[n] and from the window signal w[n] a signal

and a signal
[0020] 
where N is the length of the window signal and τ is a time-delay of the window signal
with respect to the GNSS signal x
R[n]; and calculating S
l2(τ, F
D) + SQ
2(τ,F
D).
[0021] According to another example calculating the spectrogram comprises the steps of short-time
Fourier transforming the received GNSS signal by means of the window signal to obtain
a short-time Fourier transform and summing up the square of the real part of the short-time
Fourier transform and the square of the imaginary part of the short-time Fourier transform.
Downsampling may be performed before performing a Fast Fourier transformation that
is employed in the short-time Fourier transformation of the received GNSS signal by
means of the window signal (integrate and dump).
[0022] According to still another example calculating the spectrogram comprises the steps
of generating two sinusoids sin(2π
FDn) and cos
(2πFDn) with a predetermined frequency F
D by means of a frequency generator and performing a circular convolution of the GNSS
signal by means of the window signal and the sinusoids sin(2π
FDn) and cos(2π
FDn).
[0023] The disclosed examples can be implemented in already existing acquisition units of
GNSS (GPS) or Galileo receivers. In a particularly preferred embodiment switching
between a local replica of the received GNSS signal delayed by a predetermined time-delay
τ with respect to the received GNSS signal and the window function is performed in
order to switch between a signal acquisition process and an interference detection
process. Either the local replica of the received GNSS signal or the window function
is used to calculate the spectrogram. Switching between an acquisition operation mode
and an interference detection mode automatically or by an operator is thereby enabled.
[0024] The present invention also provides a computer program product comprising one or
more computer readable media having computer-executable instructions for performing
the steps of one of the above described examples for the inventive method.
[0025] Moreover, the above mentioned problem is also solved by a GNSS acquisition means
according to claim 14 that is configured to receive a GNSS signal from a navigation
satellite, comprising
a code generator configured to generate a local replica of the GNSS signal that is
time-delayed with respect to the GNSS signal;
a memory bank configured to store at least one window signal and/or a window generator
configured to generate a window signal;
a processing unit configured to calculate a search spectrogram based on the received
GNSS signal and the local replica of the GNSS signal or an interference detection
spectrogram based on the received GNSS signal and a window signal read from the memory
bank or generated by the window generator;
a switching means configured to provide the processing unit with either the local
replica of the GNSS signal or the window signal; and
a detection means configured to receive the interference detection spectrogram from
the processing unit and to detect interference by means of the interference detection
spectrogram.
[0026] This acquisition means can perform normal signal acquisition as known in the art
by making use of a standard spectrogram (or search space) or it can perform interference
detection by means of a different spectrogram based on a window signal that is herein
sometimes referred to as an interference detection spectrogram for clear discrimination
from the usual search space. The switching means may also control whether or not a
window generator is caused to generate a window signal or whether a window signal
is to be read from a memory bank.
[0027] The interference detection spectrogram calculated by the processing unit can be expressed
as

where τ is a time-delay of the window signal with respect to the GNSS signal x
R[n], F
D is a predetermined frequency, n is a discrete time index and N is the length of the
window signal w[n].
[0028] The processing unit may be configured to calculate the interference detection spectrogram
based on a window signal derived from a window signal stored in the memory by downsampling
the stored window signal to a predetermined range of sampling instants of the GNSS
signal and adding zeros for sampling instants outside the predetermined range.
[0029] In a simple case, the detection means can be configured to detect interference by
determining whether a cell of the interference detection spectrogram exceeds a predetermined
interference threshold. The interference threshold may, in particular, be given by
[0030] 
(see above for the notation used in this formula).
[0031] According to different embodiments, the inventive GNSS signal acquisition means may
further comprise a frequency generator configured to generate two sinusoids sin
(2πFDn) and cos(
2πFDn) with a predetermined frequency F
D and the processing means may be configured to generate from the received GNSS signal
x
R[n] and from the window signal w[n] a signal

and a signal

where N is the length of the window signal and τ is a time-delay of the window signal
with respect to the GNSS signal x
R[n] and to calculate S
l2(τ, F
D) + S
Q2(τ, F
D)
or it may alternatively
further comprise a Fourier transformation means configured to short-time Fourier transform
the received GNSS signal by means of the window signal to obtain a short-time Fourier
transform and wherein the processing means is configured to sum up the square of the
real part of the short-time Fourier transform and the square of the imaginary part
of the short-time Fourier transform. The short-time Fourier transformation means may
include a Fast Fourier Transformation means and the Fast Fourier Transformation may
be performed for a downsampled signal obtained from the multiplied received GNSS signal
and the window signal.
[0032] Furthermore, the inventive GNSS signal acquisition means may comprise a frequency
generator configured to generate two sinusoids sin
(2πFDn) and cos(2π
FDn) with a predetermined frequency F
D and the processing means may be configured to perform a circular convolution of the
GNSS signal by means of the window signal and the sinusoids sin
(2πFDn) and cos
(2πFDn).
[0033] In addition, the present invention provides a receiver configured to receive a GNSS
signal, in particular, a GPS receiver, comprising a GNSS signal acquisition means
according to one of the above mentioned examples.
BRIEF DESCRIPTION OF THE DRAWINGS
[0034]
Fig. 1 illustrates an example for an implementation of the inventive method for interference
detection wherein a window signal generated by a window generator is employed in a
serial search acquisition unit.
Fig. 2 illustrates an example for an implementation of the inventive method for interference
detection wherein a window signal generated by a window generator is incorporated
in parallel search acquisition in the frequency domain.
Fig. 3 illustrates an example for an implementation of the inventive method for interference
detection wherein a window signal generated by a window generator is incorporated
in parallel search acquisition in the time domain.
Fig. 4 illustrates downsampling of a window signal stored in a memory bank.
Fig. 5 shows a spectrogram for a GPS signal obtained by an example of the inventive
method for interference detection in the absence of interfering.
Fig. 6 shows a spectrogram for a GPS signal obtained by an example of the inventive
method for interference detection in the presence of sinusoidal interfering.
DETAILED DESCRIPTION
[0035] Figure 1 illustrates the operation of window generator in an acquisition unit of
a GPS receiver configured for a serial search acquisition. A GNSS signal x
R[n] with a length N (number of sampling instants) is received. A frequency generator
is employed for generating two sinusoids sin(2π
FDn) and cos
(2FDn) with a predetermined frequency F
D. An alternative frequency generator is present that is discussed below.
[0036] A window generator generates a window signal, e.g., a Hamming's window. The window
signal is multiplied with the received GNSS signal x
R[n] and with sin(2π
FDn) (upper branch in Figure 1) and cos
(2
πFDn) (lower branch in Figure 2). The multiplication is performed for each sampling instant
n and is followed by summation over n and normalization by the signal length N. According
to this example the length of the window signal w[n] is equal to the length of the
x
R[n]. Both sums are squared and the squared sums are added to obtain the desired spectrogram
for interference detection.
[0037] In the present example a code generator and a switching means for switching between
the code generator and the window generator are also provided. Thus, an operator is
enabled to switch from a normal acquisition mode (as known in the art) to the inventive
interference detection process by means of a window signal. The switching may also
be performed automatically. In the acquisition mode a spectrogram is obtained which
represents the search space that can, e.g., be used for performing the two-dimensional
search for the code time delay and Doppler frequency as known in the art (see, e.g.,
"
Global Positioning System Receivers: Measurement and Performance", P. Misra and P.
Enge, Ganga-Jamuna Press, 2001).
[0038] Moreover, an alternative frequency generator is provided for the reason that there
is a need of changing the Doppler step ΔF (or alternatively the number of Doppler
bins) in order to explore the entire GPS (or more generally GNSS) receiver band, whereas
usually only a narrow frequency range is considered for determining Doppler frequencies.
[0039] A GPS receiver works at some intermediate frequency f
IF and all interferences included in down-conversion into the frequency range [f
IF - B/2, f
IF + B/2], where B denotes the width of the received band, are detected by the receiver
and can, thus, deteriorate the localization process. The Doppler frequencies that
are usually explored by the acquisition unit of the receiver are in the range [f
lF - (L-1) / 2 ΔF, f
lF + (L-1) / 2 ΔF], where L is the number of Doppler bins (here, this number is supposed
to be an odd number) resulting in a width of the Doppler frequency range to be explored
of B
D = (L-1) ΔF.
[0040] Exploration of the entire GNSS receiver demands for either increasing the number
of Doppler bins to L'= (B / ΔF) + 1, which would increase the processor load significantly,
or for a greater Doppler step of ΔF' = B / (L-1) thereby reducing the resolution in
the frequency dimension. A compromise can be implemented by changing both the Doppler
step and the number of Doppler bins satisfying the condition B = (L' - 1) ΔF'. The
alternative signal generator of Figure 1 allows for changing the Doppler step.
[0041] The spectrogram obtained by means of a window signal as described above is used for
the detection of interferences. According to a simple implementation some interference
is declared when a cell of the spectrogram exceeds a predetermined threshold that
is fixed in order to avoid a false alarm, i.e. a detection of an interference even
if the search space, in fact, exhibits no perturbation signals.
[0042] According to the present example, the spectrogram is given for a fixed frequency
F
D and a code delay τ by S(τ,F
D) = S
l2(τ, F
D) + S
Q2(τ, F
D), where

and

are the in-phase and quadrature components resulting from the integration of

with the window signal w.
[0043] A useful threshold for the detection of interferences can be chosen in view of the
following considerations.
[0044] In the absence of any interference x
R[n] is given by the useful GNSS signal delayed by some time delay and modulated by
some unknown frequency including the navigation message and Gaussian noise η[n]. The
variance σ
2η of the Gaussian noise, which substantially constitutes the signal fed in the acquisition
unit of the receiver is substantially given by the spectral density power times the
width of the GPS or Galileo (GNSS) receiver band, (it can be also a dual standard
GNSS receiver) if dispreading of the received GNSS signal is not correctly performed.
[0045] Moreover, the spectrogram S(τ ,F
D) can be expressed by the Short Time Fourier Transform S
F(τ ,F
D) of the received GNSS signal x
R[n] as S(τ ,F
D) = Re (S
F(τ ,F
D))
2 + Im(S
F(τ,F
D))
2, where Re and Im denote the real and imaginary parts of the complex expression, respectively.
[0046] The variance of the Short Time Fourier Transform S
F(τ,F
D) is given by E
w σ
2η,
/ N
2 with the energy E
w of the window signal

[0047] The square absolute value of a zero mean complex Gaussian random variable is distributed
~ exp(N
2 / E
w σ
2η) where the argument of the exponential function is the reciprocal value of the variance
of S
F(τ ,F
D). The probability density function of S(τ ,F
D) can, thus, be expressed by
f
s(s) = (N
2 /E
w σ
2η )exp(- s N
2 / E
w σ
2η) which results in an interference false alarm probability for an interference threshold
V
t 
[0048] Inversion of the above formula results in the expression

for the interference threshold that can advantageously chosen in all herein discussed
examples of the invention.
[0049] Figure 2 illustrates another example for an implementation of the inventive method.
In this example parallel acquisition in the frequency domain is performed. The received
GNSS signal x
R[n] multiplied with a window signal provided by a window generator. The resulting
signal is downsampled to a length L and subsequently Fast Fourier transformed. In
fact, a so-called Integrate & Dump procedure is performed. The squares of the real
and imaginary parts of the Fourier transformed signal are summed to obtain the spectrogram
used for the detection of interferences.
[0050] Again, a switching means is provided for switching between the window generator and
a code generator providing a local time-delayed replica of the GNSS signal, i.e. switching
between the acquisition mode and the interference detection mode. An example for a
simple window signal generated by the window generator is w[n] = 1, for n = 0, ..,
K -1, and w[n] = 0, for n = K, .., N - 1, where K and N are the lengths of the window
signal and the local code, respectively.
[0051] According to a third example, parallel signal acquisition is performed in the time
domain. As shown in Figure 3, a signal can be generated from the received GNSS signal
x
R[n] multiplied by sinusoids (cf. description of Fig. 1). As in the example described
with reference to Fig. 1 and for the same reasons an alternative frequency generator
can be employed. A window generator generates a window signal. Again a switching means
for switching between the acquisition and the interference detection modes, one making
use of a local time delayed replica of the received GNSS signal, the other one making
use of the window signal, is provided.
[0052] Circular convolution of the signal generated from the received GNSS signal x
R[n] multiplied by sinusoids and the window signal (or the local replica depending
on the operation of the switching means) is performed. For this, the signals are Fast
Fourier transformed, multiplied and then inverse Fast Fourier transformed. As in the
example described with reference to Figure 2, the spectrogram is obtained as a sum
of the squared real and imaginary parts of the resulting signal.
[0053] In the above examples instead of a window generator a window memory bank storing
window signals that are read out when necessary can be employed. Suitable windows
are, e.g., Hamming's window, Hanning's window or a Blackman's window. As shown in
Figure 4, the actually used window signal may be downsampled when a "shorter" window
is needed to increase the spectrogram time resolution. For the sampling instants that
are not considered by the downsampling zeros are included.
[0054] Figures 5 and 6 show spectrograms obtained by the illustrated by Figure 3. A Hamming
window signal, a Doppler step B / (L-1) of 200 kHz, a number of Doppler bins of 21
and a local code length of N = 16368 are used. The length of the Hamming window was
chosen as 1024 sampling instants.
[0055] Specifications of the used NordNav GPS receiver are a sampling frequency of 16.3676
MHz, an intermediate frequency of 4.1304 MHz, a sampling rate of 15.996 samples/chip,
a receiver bandwidth of 4 MHz and 4 quantization bits.
[0056] Figure 5 shows an obtained spectrogram of a GPS signal in the absence of interfering.
No particular pattern can be recognized. A larger number of noise peaks can be observed
around the intermediate frequency.
[0057] Figure 6 shows an obtained spectrogram of a GPS signal in the presence of a sinusoidal
interfering. As can be seen from the Figure a prominent spectral line near the intermediate
frequency, where the interfering was located, is present and, thus, the interfering
is clearly revealed by the inventive method.
1. Method for detecting interference in a Global Navigation Satellite System, GNSS, signal
received from a navigation satellite, comprising generating a local replica of the
GNSS signal that is time-delayed with respect to the GNSS signal;
providing a window signal;
calculating a search spectrogram based on the received GNSS signal and the local replica
of the GNSS signal or an interference detection spectrogram based on the received
GNSS signal and the window signal;
switching between a local replica of the received GNSS signal delayed by a predetermined
time-delay τ with respect to the received GNSS signal and the window signal in order
to switch between a signal acquisition process and an interference detection process;
detecting interference by means of the interference detection spectrogram.
2. The method according to claim 1, wherein the interference detection spectrogram is
given by

where τ is a time-delay of a generated local replica of the GNSS signal with respect
to the GNSS signal x
R[n], F
D is a predetermined frequency, n is a discrete time index and N is the length of the
window signal w[n].
3. The method according to claim 1 or 2, wherein the window signal is read from a memory
storing at least one window signal, in particular, a Hamming's window or a Hanning's
window or a Blackman's window, or is generated by a signal generator.
4. The method according to any one of the preceding claims, wherein the window signal
is derived from a window signal stored in a memory by downsampling the stored window
signal to a predetermined range of sampling instants of the GNSS signal and adding
zeros for sampling instants outside the predetermined range.
5. The method according to any one of the preceding claims, wherein the time-delay τ
assumes values τ = n Δτ with a time-delay step Δτ larger than one signal sample.
6. The method according to any one of the preceding claims, wherein the presence of interference
is detected by determining whether a cell of the interference detection spectrogram
exceeds a predetermined interference threshold.
7. The method according to claim 6, wherein the interference threshold V
t is given by

where σ
µ2, E
W, N and P denote the variance of Gaussian noise present in the GNSS signal, the energy
of the window signal, the length of the window signal and a predetermined interference
false alarm probability, respectively.
8. The method according to any one of the preceding claims, wherein calculating the interference
detection spectrogram comprises the steps of generating two sinusoids
sin(2πF
Dn) and
cos(2πF
Dn) with a predetermined frequency F
D by means of a frequency generator;
generating from the received GNSS signal x
R[n] and from the window signal w[n] a signal

and a signal

where N is the length of the window signal and τ is a time-delay of the window signal
with respect to the GNSS signal x
R[n]; and
calculating S
I2(τ , F
D) + S
Q2(τ , F
D).
9. The method according to any one of the claims 1 to 8, wherein calculating the interference
detection spectrogram comprises the steps of
short-time Fourier transforming the received GNSS signal by means of the window signal
to obtain a short-time Fourier transform; and
adding the square of the real part of the short-time Fourier transform and the square
of the imaginary part of the short-time Fourier transform.
10. The method according to claim 9, wherein the short-time Fourier transformation of
the received GNSS signal by means of the window signal is performed by a Fast Fourier
transformation and downsampling is performed before the Fast Fourier transformation.
11. The method according to any one of the claims 1 to 8, wherein calculating the interference
detection spectrogram comprises the steps of
generating two sinusoids sin(2πFDn) and cos(2πFDn) with a predetermined frequency FD by means of a frequency generator; and
performing a circular convolution of the GNSS signal by means of the window signal
and the sinusoids sin(2πFDn) and cos(2πFDn).
12. The method according to any one of the preceding claims, further comprising the step
of controlling whether or not a window generator is caused to generate said window
signal or whether said window signal is to be read from a memory bank.
13. Computer program product, comprising one or more computer readable media having computer-executable
instructions for performing the steps of the method according to any one of the claims
1 to 12.
14. Global Navigation Satellite System, GNSS, signal acquisition means configured to receive
a GNSS signal from a navigation satellite, comprising a code generator configured
to generate a local replica of the GNSS signal that is time-delayed with respect to
the GNSS signal;
a memory bank configured to store at least one window signal and/or a window generator
configured to generate a window signal;
a processing unit configured to calculate a search spectrogram based on the received
GNSS signal and the local replica of the GNSS signal or an interference detection
spectrogram based on the received GNSS signal and a window signal read from the memory
bank or generated by the window generator;
a switching means configured to provide the processing unit with either the local
replica of the GNSS signal or the window signal; and
a detection means configured to receive the interference detection spectrogram from
the processing unit and to detect interference by means of the interference detection
spectrogram.
15. The GNSS signal acquisition means according to claim 14, wherein the interference
detection spectrogram calculated by the processing unit is given by

where τ is a time-delay of a generated local replica of the GNSS signal with respect
to the GNSS signal x
R[n], F
D is a predetermined frequency, n is a discrete time index and N is the length of the
window signal w[n].
16. The GNSS signal acquisition means according to claim 14 or 15, wherein the processing
unit is configured to calculate the interference detection spectrogram based on a
window signal derived from a window signal stored in the memory by downsampling the
stored window signal to a predetermined range of sampling instants of the GNSS signal
and adding zeros for sampling instants outside the predetermined range.
17. The GNSS signal acquisition means according to any one of the claims 14 - 16, wherein
said local replica of the GNSS signal is delayed by a time-delay τ assuming values
τ = n Δτ with a time-delay step Δτ larger than one signal sample.
18. The GNSS signal acquisition means according to any one of the claims 14 to 17, wherein
the detection means is configured to detect interference by determining whether a
cell of the interference detection spectrogram exceeds a predetermined interference
threshold.
19. The GNSS signal acquisition means according to claim 18, wherein the interference
threshold Vt is given by

where σ
µ2, Ew, N and P denote the variance of Gaussian noise present in the GNSS signal, the
energy of the window signal, the length of the window signal and a predetermined interference
false alarm probability, respectively.
20. The GNSS signal acquisition means according to any one of the claims 13 to 19, further
comprising a frequency generator configured to generate two sinusoids
sin(2πF
Dn) and
cos(2πF
Dn) with a predetermined frequency F
D; and wherein
the processing means is configured to generate from the received GNSS signal x
R[n] and from the window signal w[n] a signal

and a signal

where N is the length of the window signal and τ is a time-delay of the window signal
with respect to the GNSS signal xR[n] and to calculate the spectrogram S(τ , F
D) = S
I2(τ , F
D) + S
Q2(τ , F
D).
21. The GNSS signal acquisition means according to any one of the claims 14 to 19, further
comprising a Fourier transformation means configured to short-time Fourier transform
the received GNSS signal by means of the window signal to obtain a short-time Fourier
transform and wherein the processing means is configured to sum up the square of the
real part of the short-time Fourier transform and the square of the imaginary part
of the short-time Fourier transform.
22. The GNSS signal acquisition means according to claim 21, further comprising a downsampling
means configured to downsample a signal that is input in the Fourier transformation
means for short-time Fourier transformation.
23. The GNSS signal acquisition means according to any one of the claims 14 to19, further
comprising a frequency generator configured to generate two sinusoids sin(2πFDn) and cos(2πFDn) with a predetermined frequency FD and wherein the processing unit is configured to perform a circular convolution of
the GNSS signal by means of the window signal and the sinusoids sin(2πFDn) and cos(2πFDn).
24. The GNSS signal acquisition means according to any one of the claims 14 to 23, wherein
said switching means controls whether or not said window generator is caused to generate
said window signal or whether said window signal is to be read from said memory bank.
25. Receiver configured to receive a GNSS signal, in particular, a GPS receiver, comprising
a GNSS signal acquisition means according to any one of the claims 14 to 24.
1. Verfahren zum Detektieren von Interferenz in einem GNSS-Signal, wobei GNSS für globales
Satellitennavigationssystem steht, welches von einem Navigationssatelliten empfangen
wurde, umfassend:
Erzeugen einer lokalen Kopie des GNSS-Signals, die in Bezug auf das GNSS-Signal zeitverzögert
ist;
Bereitstellen eines Fenstersignals;
Berechnen eines Suchspektrogramms basierend auf dem empfangenen GNSS-Signal und der
lokalen Kopie des GNSS-Signals oder Berechnen eines Interferenzdetektionsspektrogramms
basierend auf dem empfangenen GNSS-Signal und dem Fenstersignal;
Umschalten zwischen einer lokalen Kopie des empfangenen GNSS-Signals, die in Bezug
auf das empfangene GNSS-Signal um eine vorbestimmte Zeitverzögerung τ verzögert ist,
und dem Fenstersignal, um zwischen einem Signalerfassungsprozess und einem Interferenzdetektionsprozess
umzuschalten;
Detektieren von Interferenz mittels des Interferenzdetektionsspektrogramms.
2. Verfahren nach Anspruch 1, wobei das Interferenzdetektionsspektrogramm gegeben ist
durch

wobei τ eine Zeitverzögerung einer erzeugten lokalen Kopie des GNSS-Signals in Bezug
auf das GNSS-Signal
xR[
n] ist,
FD eine vorbestimmte Frequenz ist,
n ein diskreter Zeitindex ist, und N die Länge des Fenstersignals w[n] ist.
3. Verfahren nach Anspruch 1 oder 2, wobei das Fenstersignal von einem Speicher gelesen
wird, der zumindest ein Fenstersignal speichert, insbesondere, ein Hamming-Fenster
oder ein Hanning-Fenster oder ein Blackman-Fenster, oder von einem Signalgenerator
erzeugt wird.
4. Verfahren nach einem der vorangegangenen Ansprüche, wobei das Fenstersignal von einem
in einem Speicher gespeicherten Fenstersignal abgeleitet wird, indem das gespeicherte
Fenstersignal auf einen vorbestimmten Bereich von Abtastzeitpunkten des GNSS-Signals
heruntergetastet wird und für Abtastzeitpunkte außerhalb des vorbestimmten Bereichs
Nullen hinzugefügt werden.
5. Verfahren nach einem der vorangegangenen Ansprüche, wobei die Zeitverzögerung τ Werte
τ = nΔτ mit einem Zeitverzögerungsschritt Δτ größer als ein Signalabtastwert annimmt.
6. Verfahren nach einem der vorangegangenen Ansprüche, wobei das Vorhandensein von Interferenz
detektiert wird, indem bestimmt wird, ob eine Zelle des Interferenzdetektionsspektrogramms
einen vorbestimmten Interferenzschwellwert überschreitet.
7. Verfahren nach Anspruch 6, wobei der Interferenzschwellwert
Vt gegeben ist durch

wobei σ
µ2,
EW, N und
P jeweils die Varianz des in dem GNSS-Signal vorhandenen Gaußschen Rauschens, die Energie
des Fenstersignals, die Länge des Fenstersignals, und eine vorbestimmte Interferenzfehlalarmwahrscheinlichkeit
angeben.
8. Verfahren nach einem der vorangegangenen Ansprüche, wobei das Berechnen des Interferenzdetektionsspektrogramms
die Schritte umfasst:
Erzeugen von zwei Sinusschwingungen sin(2πFDn) und cos(2πFDn) mit einer vorbestimmten Frequenz FD mittels eines Frequenzgenerators;
Erzeugen, aus dem empfangenen GNSS-Signal xR[n] und aus dem Fenstersignal w[n], eines Signals

und eines Signals

wobei N die Länge des Fenstersignals ist und τ eine Zeitverzögerung des Fenstersignals in
Bezug auf das GNSS-Signal xR[n] ist; und

9. Verfahren nach einem der Ansprüche 1 bis 8, wobei das Berechnen des Interferenzdetektionsspektrogramms
die Schritte umfasst:
Kurzzeit-Fourier-Transformieren des empfangenen GNSS-Signals mittels des Fenstersignals,
um eine Kurzzeit-Fourier-Transformation zu erhalten; und
Addieren des Quadrats des Realteils der Kurzzeit-Fourier-Transformation und des Quadrats
des Imaginärteils der Kurzzeit-Fourier-Transformation.
10. Verfahren nach Anspruch 9, wobei die Kurzzeit-Fourier-Transformation des empfangenen
GNSS-Signals mittels des Fenstersignals durch eine Fast-Fourier-Transformation durchgeführt
wird und vor der Fast-Fourier-Transformation ein Heruntertasten durchgeführt wird.
11. Verfahren nach einem der Ansprüche 1 bis 8, wobei das Berechnen des Interferenzdetektionsspektrogramms
die Schritte umfasst:
Erzeugen von zwei Sinusschwingungen sin(2πFDn) und cos(2nFDn) mit einer vorbestimmten Frequenz FD mittels eines Frequenzgenerators; und
Durchführen einer zirkulären Faltung des GNSS-Signals mittels des Fenstersignals und
der Sinusschwingungen sin(2πFDn) und cos(2nFDn).
12. Verfahren nach einem der vorangegangenen Ansprüche, des Weiteren umfassend den Schritt
des Steuerns ob ein Fenstergenerator veranlasst wird, das Fenstersignal zu erzeugen,
oder ob das Fenstersignal von einer Speicherbank gelesen werden soll.
13. Computerprogrammprodukt umfassend einen oder mehrere computerlesbare Medien, die computerausführbare
Befehle zum Durchführen der Schritte des Verfahrens nach einem der Ansprüche 1 bis
12 umfassen.
14. GNSS-Signal-Erfassungsmittel, wobei GNSS für globales Satelliten-Navigationssystem
steht, welches ausgestaltet ist, ein GNSS-Signal von einem Navigationssatelliten zu
empfangen, umfassend:
einen Codegenerator, der ausgestaltet ist, eine lokale Kopie des GNSS-Signals zu erzeugen,
die in Bezug auf das GNSS-Signal zeitverzögert ist;
eine Speicherbank, die ausgestaltet ist, zumindest ein Fenstersignal zu speichern,
und/oder einen Fenstergenerator, der ausgestaltet ist, ein Fenstersignal zu erzeugen;
eine Verarbeitungseinheit, die ausgestaltet ist, ein Suchspektrogramm basierend auf
dem empfangenen GNSS-Signal und der lokalen Kopie des GNSS-Signals zu berechnen, oder
ein Interferenzdetektionsspektrogramm basierend auf dem empfangenen GNSS-Signal und
einem Fenstersignal, das von der Speicherbank gelesen wird oder von dem Fenstergenerator
erzeugt wird, zu berechnen;
ein Umschaltmittel, das ausgestaltet ist, der Verarbeitungseinheit entweder die lokale
Kopie des GNSS-Signals oder das Fenstersignal zur Verfügung zu stellen; und
ein Detektionsmittel, das ausgestaltet ist, das Interferenzdetektionsspektrogramm
von der Verarbeitungseinheit zu empfangen und Interferenz mittels des Interferenzdetektionsspektrogramms
zu detektieren.
15. GNSS-Signal-Erfassungsmittel nach Anspruch 14, wobei das von der Verarbeitungseinheit
berechnete Interferenzdetektionsspektrogramm gegeben ist durch

wobei τ eine Zeitverzögerung einer erzeugten lokalen Kopie des GNSS-Signals in Bezug
auf das GNSS-Signal
xR[
n] ist,
FD eine vorbestimmte Frequenz ist,
n ein diskreter Zeitindex ist, und
N die Länge des Fenstersignals
w[
n] ist.
16. GNSS-Signal-Erfassungsmittel nach Anspruch 14 oder 15, wobei die Verarbeitungseinheit
ausgestaltet ist, das Interferenzdetektionsspektrogramm basierend auf einem Fenstersignal
zu berechnen, das von einem in einem Speicher gespeicherten Fenstersignal abgeleitet
wird, indem das gespeicherte Fenstersignal auf einen vorbestimmten Bereich von Abtastzeitpunkten
des GNSS-Signals heruntergetastet wird und für Abtastzeitpunkte außerhalb des vorbestimmten
Bereichs Nullen hinzugefügt werden.
17. GNSS-Signal-Erfassungsmittel nach einem der Ansprüche 14 bis 16, wobei die lokale
Kopie des GNSS-Signals um eine Zeitverzögerung τ verzögert wird, die Werte τ = nΔτ mit einem Zeitverzögerungsschritt Δτ größer als ein Signalabtastwert annimmt.
18. GNSS-Signal-Erfassungsmittel nach einem der Ansprüche 14 bis 17, wobei das Erfassungsmittel
ausgestaltet ist, Interferenz zu detektieren, indem bestimmt wird, ob eine Zelle des
Interferenzdetektionsspektrogramms einen vorbestimmten Interferenzschwellwert überschreitet.
19. GNSS-Signal-Erfassungsmittel nach Anspruch 18, wobei der Interferenzschwellwert
Vt gegeben ist durch

wobei σ
µ2,
EW, N und
P jeweils die Varianz des in dem GNSS-Signal vorhandenen Gaußschen Rauschens, die Energie
des Fenstersignals, die Länge des Fenstersignals, und eine vorbestimmte Interferenzfehlalarmwahrscheinlichkeit
angeben.
20. GNSS-Signal-Erfassungsmittel nach einem der Ansprüche 13 bis 19, des Weiteren umfassend
einen Frequenzgenerator, der ausgestaltet ist, zwei Sinusschwingungen sin(2π
FDn) und cos(2π
FDn) mit einer vorbestimmten Frequenz
FD zu generieren; und wobei
das Verarbeitungsmittel ausgestaltet ist, aus dem empfangenen GNSS-Signal
xR[
n] und aus dem Fenstersignal
w[
n] ein Signal

und ein Signal

zu erzeugen, wobei
N die Länge des Fenstersignals ist und τ eine Zeitverzögerung des Fenstersignals in
Bezug auf das GNSS-Signal
xR[
n] ist, und das Spektrogramm
S(τ,
FD) =
SI2 (τ,
FD) +
SQ2 (τ,
FD) zu berechnen.
21. GNSS-Signal-Erfassungsmittel nach einem der Ansprüche 14 bis 19, des Weiteren umfassend
ein Fourier-Transformations-Mittel, das ausgestaltet ist, das empfangene GNSS-Signal
mittels des Fenstersignal zu Kurzzeit-Fourier-Transformieren, um eine Kurzzeit-Fourier-Transformation
zu erhalten, und wobei das Verarbeitungsmittel ausgestaltet ist, das Quadrat des Realteils
der Kurzzeit-Fourier-Transformation und das Quadrat des Imaginärteils der Kurzzeit-Fourier-Transformation
aufzuaddieren.
22. GNSS-Signal-Erfassungsmittel nach Anspruch 21, des Weiteren umfassend ein Heruntertastmittel,
das ausgestaltet ist, ein Signal, das in das Fourier-Transformations-Mittel zur Kurzzeit-Fourier-Transformation
eingegeben wird, herunterzutasten.
23. GNSS-Signal-Erfassungsmittel nach einem der Ansprüche 14 bis 19, des Weiteren umfassend
einen Frequenzgenerator, der ausgestaltet ist, zwei Sinusschwingungen sin(2πFDn) und cos(2πFDn) mit einer vorbestimmten Frequenz FD zu erzeugen, und wobei die Verarbeitungseinheit ausgestaltet ist, eine zirkuläre
Faltung des GNSS-Signals mittels des Fenstersignals und der Sinusschwingung sin(2πFDn) und cos(2πFDn) durchzuführen.
24. GNSS-Signal-Erfassungsmittel nach einem der Ansprüche 14 bis 23, wobei das Umschaltmittel
steuert, ob der Fenstergenerator veranlasst wird, das Fenstersignal zu erzeugen, oder
ob das Fenstersignal von der Speicherbank gelesen werden soll.
25. Empfänger, welcher ausgestaltet ist, ein GNSS-Signal zu empfangen, insbesondere, ein
GPS-Empfänger, umfassend ein GNSS-Signal-Erfassungsmittel nach einem der Ansprüche
14 bis 24.
1. Procédé de détection d'interférence dans un Système Mondial de Navigation par Satellites,
GNSS, signal reçu à partir d'un satellite de navigation, comprenant le fait de :
générer une réplique locale du signal GNSS qui est un signal retardé dans le temps
par rapport au signal GNSS ;
fournir un signal de fenêtre ;
calculer un spectrogramme de recherche sur la base du signal GNSS reçu et de la réplique
locale du signal GNSS ou un spectrogramme de détection d'interférence sur la base
du signal GNSS reçu et du signal de fenêtre ;
commuter entre une réplique locale du signal GNSS reçu retardée par un retard temporel
prédéterminé τ par rapport au signal GNSS reçu et au signal de fenêtre afin de commuter
entre un processus d'acquisition de signal et un processus de détection d'interférence
;
détecter l'interférence au moyen du spectrogramme de détection d'interférence.
2. Procédé selon la revendication 1, dans lequel le spectrogramme de détection d'interférence
est donné par

où τ est un retard temporel d'une réplique locale générée du signal GNSS par rapport
au signal GNSS x
R[n], F
D est une fréquence prédéterminée, n est un indice de temps discret et N est la longueur
du signal de fenêtre w[n].
3. Procédé selon la revendication 1 ou 2, dans lequel le signal de fenêtre est lu à partir
d'une mémoire stockant au moins un signal de fenêtre, en particulier une fenêtre de
Hamming ou une fenêtre de Hanning ou une fenêtre de Blackman, ou bien est généré par
un générateur de signal.
4. Procédé selon l'une quelconque des revendications précédentes, dans lequel le signal
de fenêtre est déduit d'un signal de fenêtre stocké dans une mémoire en sous-échantillonnant
le signal de fenêtre stocké sur une plage prédéterminée d'instants d'échantillonnage
du signal GNSS et en ajoutant des zéros correspondant aux instants d'échantillonnage
extérieurs à la plage prédéterminée.
5. Procédé selon l'une quelconque des revendications précédentes, dans lequel le retard
temporel τ prend des valeurs τ = n Δτ avec un pas de retard temporel Δτ plus grand
qu'un échantillon du signal.
6. Procédé selon l'une quelconque des revendications précédentes, dans lequel la présence
d'une interférence est détectée en déterminant si un élément du spectrogramme de détection
d'interférence dépasse un seuil d'interférence prédéterminé.
7. Procédé selon la revendication 6, dans lequel le seuil d'interférence V
t est donné par

où σ
µ2, E
W, N et P désignent, respectivement, la variance du bruit Gaussien présent dans le
signal GNSS, l'énergie du signal de fenêtre, la longueur du signal de fenêtre et une
probabilité de fausse alarme d'interférence prédéterminée.
8. Procédé selon l'une quelconque des revendications précédentes, dans lequel le calcul
du spectrogramme de détection d'interférence comporte les étapes comprenant de :
générer deux sinusoïdes sin (2πFDn) et cos (2nFDn) avec une fréquence prédéterminée FD au moyen d'un générateur de fréquences ;
générer à partir du signal GNSS reçu xR[n] et à partir du signal de fenêtre w[n] un signal


et un signal
où N est la longueur du signal de fenêtre et τ est un retard temporel du signal de
fenêtre par rapport au signal GNSS xR[n] ; et
calculer S2 | (τ, FD) + SQ2 (τ, FD).
9. Procédé selon l'une quelconque des revendications 1 à 8, dans lequel le calcul du
spectrogramme de détection d'interférence comporte les étapes comprenant le fait de
réaliser une transformation de Fourier à fenêtre glissante du signal GNSS reçu au
moyen du signal de fenêtre pour obtenir une transformée de Fourier à fenêtre glissante
; et
ajouter le carré de la partie réelle de la transformée de Fourier à fenêtre glissante
et le carré de la partie imaginaire de la transformée de Fourier à fenêtre glissante.
10. Procédé selon la revendication 9, dans lequel la transformation de Fourier à fenêtre
glissante du signal GNSS reçu au moyen du signal de fenêtre est exécutée par une transformation
de Fourier Rapide et un sous-échantillonnage est exécuté avant la transformation de
Fourier Rapide.
11. Procédé selon l'une quelconque des revendications 1 à 8, dans lequel le calcul du
spectrogramme de détection d'interférence comporte les étapes comprenant de :
générer deux sinusoïdes sin (2πFDn) et cos (2πFDn) avec une fréquence prédéterminée FD au moyen d'un générateur de fréquences ; et
exécuter une convolution circulaire du signal GNSS au moyen du signal de fenêtre et
des sinusoïdes sin(2πFDn) et cos (2πFDn) .
12. Procédé selon l'une quelconque des revendications précédentes comprenant, de plus,
l'étape consistant à contrôler si oui ou non un générateur de fenêtre est amené à
générer ledit signal de fenêtre ou si ledit signal de fenêtre doit être lu à partir
d'un bloc de mémoire.
13. Produit de programme d'ordinateur comprenant un ou plusieurs support(s) exploitable(s)
par ordinateur comportant des instructions pouvant être exécutées par ordinateur en
vue d'exécuter les étapes du procédé selon l'une quelconque des revendications 1 à
12.
14. Système Mondial de Navigation par Satellites, GNSS, Moyens d'acquisition de signaux
configurés pour recevoir un signal GNSS à partir d'un satellite de navigation, comportant
:
un générateur de code configuré pour générer une réplique locale du signal GNSS qui
est retardé dans le temps par rapport au signal GNSS ;
un bloc de mémoire configuré pour stocker au moins un signal de fenêtre et/ou un générateur
de fenêtre configuré pour générer un signal de fenêtre ;
une unité de traitement configurée pour calculer un spectrogramme de recherche sur
la base du signal GNSS reçu et de la réplique locale du signal GNSS ou un spectrogramme
de détection d'interférence sur la base du signal GNSS reçu et d'un signal de fenêtre
lu à partir du bloc de mémoire ou généré par le générateur de fenêtre ;
des moyens de commutation configurés pour fournir à l'unité de traitement, soit la
réplique locale du signal GNSS, soit le signal de fenêtre ; et
des moyens de détection configurés pour recevoir le spectrogramme de détection d'interférence
à partir de l'unité de traitement et pour détecter une interférence au moyen du spectrogramme
de détection d'interférence.
15. Moyens d'acquisition d'un signal GNSS selon la revendication 14, dans lesquels le
spectrogramme de détection d'interférence calculé par l'unité de traitement est donné
par

où τ est un retard temporel d'une réplique locale générée du signal GNSS par rapport
au signal GNSS x
R[n],F
D est une fréquence prédéterminée, n est un indice de temps discret et N est la longueur
du signal de fenêtre w[n].
16. Moyens d'acquisition de signal GNSS selon la revendication 14 ou 15, dans lesquels
l'unité de traitement est configurée pour calculer le spectrogramme de détection d'interférence
sur la base d'un signal de fenêtre déduit d'un signal de fenêtre stocké dans la mémoire
en sous-échantillonnant le signal de fenêtre stocké sur une plage prédéterminée d'instants
d'échantillonnage du signal GNSS et en ajoutant des zéros correspondant aux instants
d'échantillonnage extérieurs à la plage prédéterminée.
17. Moyens d'acquisition de signal GNSS selon l'une quelconque des revendications 14 à
16, dans lesquels ladite réplique locale du signal GNSS est retardée d'un retard temporel
τ prenant des valeurs τ = n Δτ avec un pas de retard temporel Δτ plus grand qu'un
échantillon de signal.
18. Moyens d'acquisition de signal GNSS selon l'une quelconque des revendications 14 à
17, dans lequel les moyens de détection sont configurés pour détecter une interférence
en déterminant si un élément du spectrogramme de détection d'interférence dépasse
un seuil d'interférence prédéterminé.
19. Moyens d'acquisition de signal GNSS selon la revendication 18, dans lesquels le seuil
d'interférence Vt est donné par

où σ
µ2, Ew, N et P désignent, respectivement, la variance d'un bruit Gaussien présent dans
le signal GNSS, l'énergie du signal de fenêtre, la longueur du signal de fenêtre et
une probabilité de fausse alarme d'interférence prédéterminée.
20. Moyens d'acquisition de signal GNSS selon l'une quelconque des revendications 13 à
19 comprenant, de plus, un générateur de fréquence configuré pour générer deux sinusoïdes
sin(2πF
Dn) et
cos(2πF
Dn) avec une fréquence prédéterminée F
D ; et dans lesquels les moyens de traitement sont configurés pour générer à partir
du signal GNSS reçu x
R[n] et à partir du signal de fenêtre w[n] un signal

et un signal
où N est la longueur du signal de fenêtre et τ est un retard temporel du signal de
fenêtre par rapport au signal GNSS xR[n] et pour calculer le spectrogramme : S(τ,F
D ) = S
I2 (τ,F
D ) + S
Q2 (τ, F
D ).
21. Moyens d'acquisition de signal GNSS selon l'une quelconque des revendications 14 à
19 comprenant, de plus, des moyens de transformation de Fourier configurés pour opérer
une transformation de Fourier à fenêtre glissante sur le signal GNSS reçu au moyen
du signal de fenêtre afin d'obtenir une transformée de Fourier à fenêtre glissante
et dans lesquels les moyens de traitement sont configurés pour additionner le carré
de la partie réelle de la transformée de Fourier à fenêtre glissante et le carré de
la partie imaginaire de la transformée de Fourier à fenêtre glissante.
22. Moyens d'acquisition de signal GNSS selon la revendication 21 comprenant, de plus,
des moyens de sous-échantillonnage configurés pour sous-échantillonner un signal qui
est introduit dans les moyens de transformation de Fourier en vue d'une transformation
de Fourier à fenêtre glissante.
23. Moyens d'acquisition de signal GNSS selon l'une quelconque des revendications 14 à
19 comprenant, de plus, un générateur de fréquence configuré pour générer deux sinusoïdes
sin (2πFDn) et cos (2πFDn) avec une fréquence prédéterminée FD et dans lesquels l'unité de traitement est configurée pour exécuter une convolution
circulaire du signal GNSS au moyen du signal de fenêtre et des sinusoïdes sin(2πFDn) et cos(2πFDn).
24. Moyens d'acquisition de signal GNSS selon l'une quelconque des revendications 14 à
19 dans lesquels lesdits moyens de commutation contrôle si, oui ou non, ledit générateur
de fenêtre est entraîné à générer ledit signal de fenêtre ou si ledit signal de fenêtre
doit être lu à partir dudit bloc de mémoire.
25. Récepteur configuré pour recevoir un signal GNSS, en particulier, récepteur GPS, comportant
des moyens d'acquisition de signal GNSS selon l'une quelconque des revendications
14 à 24.